Fast radio transient search algorithms identify signals of interest by iterating and applying a threshold on set matched filters. These filters are defined properties the such as time dispersion. A real can trigger hundreds trials, each which has to be post-processed for visualization classification tasks. In this paper, we have explored range unsupervised clustering cluster these redundant can...

In this article, a case study is presented on applying cluster analysis techniques to evaluate the level of power quality (PQ) parameters virtual plant. The conducted research concerns application K-means algorithm in comparison with agglomerative for PQ data, which have different sizes features. object deals standardized datasets containing classical from two sub-studies. Moreover, optimal num...